LLM Models

DISCONTINUED. Mistral's first reasoning model (June 2025), the API-served Medium tier tuned for transparent, multi-step reasoning across math, coding, and logic. Magistral shows ~15% gains on AIME 24/25 and LiveCodeBench over prior Mistral models, with a reasoning-oriented context window. Mistral deprecated it on October 31, 2025 and retired it on November 30, 2025; every Magistral version now sits in Mistral's deprecated table.

DISCONTINUED. Mistral's 124B multimodal model (November 2024), built on Mistral Large 2 with an integrated vision encoder for frontier-class image understanding. It handles documents, charts, and natural images alongside text with a 128K context window. Mistral's launch page is now titled [Deprecated] Pixtral Large and states the model is no longer maintained; the hosted version was deprecated on February 27, 2026.

DISCONTINUED. Mistral's edge-focused 8B model (October 2024), part of les Ministraux, built for on-device and low-latency inference with a 128K context window. It offers strong reasoning and instruction following for its size, suited to local assistants, function calling, and privacy-sensitive deployments. Mistral deprecated the hosted model on December 2, 2025 and retired it on December 31, 2025; the weights remain on Hugging Face under the Mistral Research License.

DISCONTINUED. Mistral's open-weight 24B multimodal model (March 2025, Apache 2.0), adding image understanding and a 128K context window to Mistral Small 3. It delivers strong text and vision performance at a size that runs on a single high-end GPU, competitive with larger proprietary small models. Mistral deprecated the hosted version on November 6, 2025 and retired it on November 30, 2025; the Apache-2.0 weights remain live on Hugging Face and Mistral's AI-governance page still records the open model as Active.

DISCONTINUED. Mistral AI's flagship model with 123B parameters designed for single-node inference at large throughput. Released July 2024 with breakthrough code generation - achieves state-of-the-art 92% on HumanEval (matched only by Claude 3.5 Sonnet). Beats many closed models on MATH problem-solving (71.5%, surpassing Gemini 1.5 Pro, Gemini 1.0 Ultra, GPT-4, Claude 3 Opus). Supports dozens of languages and 80+ coding languages. Features 128K context window for long-context applications. Performs on par with GPT-4o, Claude 3 Opus, and Llama 3 405B while enabling efficient single-node deployment. Mistral retired it on March 30, 2025; its AI-governance page records Status: Retired.

DISCONTINUED. Mistral AI's optimized model balancing performance and cost-effectiveness. Designed for latency-sensitive applications requiring reliable performance without flagship pricing. Outperforms Mixtral 8x7B while offering lower latency. Features 32K context window (some sources indicate 131K support) and 4K max output. Supports function calling and JSON formatting for structured outputs. Excellent for data analysis, research tasks, and everyday AI applications. Positioned as refined intermediary between open-weights and flagship tiers. Mistral retired Mistral Small 1.0 on June 16, 2025; its AI-governance page records Status: Retired.

DeepSeek's open-source code MoE (June 2024), further pretrained from DeepSeek-V2 on an additional 6T tokens. It expands programming-language support from 86 to 338 and context from 16K to 128K, reaching performance comparable to GPT-4 Turbo on code-specific tasks. Available in 236B (21B active) and 16B (2.4B active) sizes.

DeepSeek's December 2025 open-weight successor to V3.2-Exp, a reasoning-first model built for long-context tasks, agent workflows, and tool use. It introduces DeepSeek Sparse Attention (DSA) to cut long-context inference cost while keeping output quality on par with V3.1, with a 131K context window and 64K max output.

DeepSeek's August 2025 hybrid model, a 685B-parameter mixture-of-experts (37B active) that unifies chat, reasoning, and coding in a single checkpoint with switchable thinking. Open-weight and inexpensive to serve, it offers a 128K context window at a fraction of proprietary frontier pricing.

DeepSeek's groundbreaking 671B parameter Mixture-of-Experts model with 37B activated per token. Released December 2024 with MIT license enabling unrestricted commercial use. Outperforms open-source models and achieves performance comparable to leading closed-source models (GPT-4, Claude) on most benchmarks. Excels particularly on math and code tasks. Uses Multi-head Latent Attention (MLA) and DeepSeekMoE architectures for efficient inference. Pretrained on 14.8T diverse tokens with only 2.788M H800 GPU hours - breakthrough training efficiency. Pioneers auxiliary-loss-free load balancing and multi-token prediction objectives.

Alibaba's state-of-the-art open-source code model achieving GPT-4o-level coding performance. Released November 2024 with 32B parameters - small enough to run on consumer hardware (32GB+ RAM). Best open-source model on multiple code generation benchmarks (EvalPlus, LiveCodeBench, BigCodeBench). Scores 73.7 on Aider code repair (comparable to GPT-4o). Excels across 40+ programming languages with 65.9 on McEval multi-language benchmark. Achieves 75.2 on MdEval code repair (first among open-source). Available in sizes from 0.5B to 32B. Represents breakthrough in accessible, GPT-4o-class coding assistance.

xAI's state-of-the-art AI assistant with advanced text and vision understanding, integrating real-time information from the 𝕏 (Twitter) platform. Released August 2024 for 𝕏 Premium and Premium+ users. Achieves competitive performance with frontier models on graduate-level science (GPQA), general knowledge (MMLU, MMLU-Pro), and math (MATH). Excels at vision tasks - reaches 93.6% on DocVQA document Q&A (outperforming GPT-4 Turbo 87.2% and Claude 3.5 Sonnet 89.3%). Introduced as 'sus-column-r' on LMArena, outperforming Claude and GPT-4 on LMSYS leaderboard. Includes Grok-2 mini variant balancing speed and quality.